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opensearch-docs-cn/_observability-plugin/index.md
Naarcha-AWS c69f860bfe
Add PPL and SQL section (#1111) 
* Merge pull request #1 from Yury-Fridlyand/dev-update-sql-relevance-docs

Update SQL plugin relevance functions documentation.

Co-authored-by: MaxKsyunz <maxk@bitquilltech.com>
Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Address PR feedback.

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Address PR feedback by @joshuali925.

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>

* Remove PPL page from Observability Plugin. Add link to Observability page. Make some simple formatting changes

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Reword paragraph

Signed-off-by: Naarcha-AWS <naarcha@amazon.com>

* Adds SQL and PPL API and other SQL plugin changes

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Formatting changes

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Incorporates editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

Signed-off-by: Yury Fridlyand <yuryf@bitquilltech.com>
Signed-off-by: Naarcha-AWS <naarcha@amazon.com>
Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
Co-authored-by: Yury Fridlyand <yuryf@bitquilltech.com>
Co-authored-by: MaxKsyunz <maxk@bitquilltech.com>
Co-authored-by: Fanit Kolchina <kolchfa@amazon.com>
2022-09-26 12:28:00 -04:00

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About Observability

OpenSearch Dashboards {: .label .label-yellow :}

Observability is collection of plugins and applications that let you visualize data-driven events by using Piped Processing Language to explore, discover, and query data stored in OpenSearch.

Your experience of exploring data might differ, but if you're new to exploring data to create visualizations, we recommend trying a workflow like the following:

  1. Explore data within a certain timeframe using Piped Processing Language.
  2. Use event analytics to turn data-driven events into visualizations. Sample Event Analytics View
  3. Create operational panels and add visualizations to compare data the way you like. Sample Operational Panel View
  4. Use log analytics to transform unstructured log data.
  5. Use trace analytics to create traces and dive deep into your data. Sample Trace Analytics View
  6. Leverage notebooks to combine different visualizations and code blocks that you can share with team members. Sample Notebooks View